Retrieve a specific memory by its ID with all its details.
AI agents call get_memory to retrieve information from MCP Qdrant Semantic Search without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves stored information from the vector database by ID, returning memory details. It performs a read-only query operation with no creation, modification, deletion, or execution of external operations. The retrieval of semantic memory data has minimal security risk unless the memory content itself contains highly sensitive information, but the tool mechanism itself poses only low risk.
From the tool's definition Tool name 'get_memory' and description 'Retrieve a specific memory by its ID with all its details' indicate data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access get_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Qdrant Semantic Search, and nothing reaches the server without passing your rules. This is the rule we recommend for get_memory:
{
"version": "1",
"default": "deny",
"tools": {
"get_memory": {}
}
}get_memory is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Retrieve a specific memory by its ID with all its details. It is categorised as a Read tool in the MCP Qdrant Semantic Search MCP Server, which means it retrieves data without modifying state.
Register the MCP Qdrant Semantic Search MCP server in PolicyLayer and add a rule for get_memory: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MCP Qdrant Semantic Search. Nothing to install.
get_memory is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_memory rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_memory. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_memory is provided by the MCP Qdrant Semantic Search MCP server (muhammedehab35/mcp-qdrant-semantic-search). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Qdrant Semantic Search, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
7 MCP Qdrant Semantic Search tools catalogued and risk-classified — across an index of 43,000+ MCP servers.